Specifications Compared
| Spec | GAUDI2 | RTX-2060 |
|---|---|---|
| TDP | 600W | 160W |
| VRAM | 96 GB | 6-12 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Gaudi | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Ethernet | |
| FP16 Performance | 420 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 420 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 2,460 GB/s | 336 GB/s |
Performance Analysis
Compute performance reveals a stark divide: Gaudi 2 delivers 420 TFLOPS in FP16 and FP32, dwarfing RTX 2060's 6.5 TFLOPS by a factor of 65. This gap accelerates deep learning training, where FP16 handles mixed-precision computations efficiently, and FP32 ensures numerical stability in gradients. For inference, Gaudi 2 processes larger batches faster, reducing latency in deployment scenarios.
Memory specifications further favor Gaudi 2: 96 GB HBM2e VRAM supports models with billions of parameters, enabling batch sizes that RTX 2060's 6-12 GB GDDR6 cannot match without splitting or quantization. Bandwidth at 2460 GB/s versus 336 GB/s minimizes data bottlenecks during training epochs, allowing sustained throughput for memory-intensive operations like transformer attention mechanisms.
Power draw underscores trade-offs: Gaudi 2's 600W TDP suits datacenter cooling, while RTX 2060's 160W fits edge or desktop use. Form factors differ too, OAM for Gaudi 2 versus PCIe for RTX 2060, impacting integration. Overall, Gaudi 2 excels in scalable AI, but RTX 2060 suffices for lightweight tasks where efficiency trumps raw speed.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Gaudi 2
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 8×Intel Gaudi 2 96GB VRAM | 96GB | 64 vCPU 2048GB RAM 96174GB Storage | Netherlands | $0.91/GPU/hr $7.29/hr total (8×) | Available | ||
 Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |
When to Choose the Gaudi 2
Opt for Gaudi 2 in large-scale AI training requiring 96 GB VRAM to load full models without sharding. Its 420 TFLOPS FP16 performance handles distributed workloads over Ethernet interconnects, ideal for enterprise teams processing datasets exceeding RTX 2060's 6-12 GB limits. Cloud pricing at $0.91 per hour justifies investment for production pipelines demanding 2460 GB/s bandwidth to maintain high throughput.
When to Choose the RTX 2060
Choose RTX 2060 for budget-conscious prototyping or gaming with inference needs fitting 6-12 GB VRAM. At $0.02 per hour, it offers value for small-scale fine-tuning or Stable Diffusion runs where 6.5 TFLOPS suffices and 160W TDP enables low-power desktops. Developers testing proofs-of-concept avoid Gaudi 2's 600W demands and higher $1.08 average cost.
Use Cases
Gaudi 2's 96 GB VRAM and 420 TFLOPS FP16 handle massive language models without partitioning. RTX 2060's 6-12 GB limits scale severely.
High 2460 GB/s bandwidth supports large batch inference on Gaudi 2. RTX 2060's 336 GB/s bottlenecks high-throughput serving.
Gaudi 2 accommodates full model fine-tuning with 96 GB capacity and 420 TFLOPS speed. RTX 2060 requires heavy optimization due to 6-12 GB constraints.
RTX 2060 runs image generation adequately at 6.5 TFLOPS for consumer use, with $0.02 per hour cost. Gaudi 2 overkill for non-enterprise creative tasks.
Gaudi 2's 420 TFLOPS FP32 and 96 GB VRAM excel in simulations needing high precision and memory. RTX 2060's specs restrict complex computations.
Frequently Asked Questions
What is the VRAM difference between Gaudi 2 and RTX 2060?▾
Gaudi 2 provides 96 GB HBM2e VRAM, while RTX 2060 offers 6-12 GB GDDR6. This enables Gaudi 2 to manage much larger models or datasets without offloading.
How do compute performances compare?▾
Gaudi 2 achieves 420 TFLOPS in FP16 and FP32, versus RTX 2060's 6.5 TFLOPS. The 65-fold advantage accelerates training and inference significantly.
What are the cloud pricing ranges?▾
Gaudi 2 starts at $0.91 per hour with $1.08 average across two offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 across two offers.
Which has higher memory bandwidth?▾
Gaudi 2 delivers 2460 GB/s, compared to RTX 2060's 336 GB/s. Higher bandwidth reduces data transfer delays in AI workloads.
What are the power consumption differences?▾
Gaudi 2 requires 600W TDP for datacenter use, while RTX 2060 uses 160W. Lower power suits RTX 2060 for edge or desktop applications.
Which GPU is better for large model training?▾
Gaudi 2 excels with 96 GB VRAM and 420 TFLOPS. RTX 2060's 6-12 GB VRAM limits it to smaller models.
Which is cheaper to rent, the Gaudi 2 or the RTX 2060?▾
Cloud rental prices for both the Gaudi 2 and RTX 2060 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Gaudi 2 have compared to the RTX 2060?▾
The Gaudi 2 has 96 GB of HBM2e memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find Gaudi 2 and RTX 2060 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Gaudi 2 and the RTX 2060?▾
The Gaudi 2 uses the Gaudi architecture (2022) while the RTX 2060 uses Turing (2019). The Gaudi 2 delivers 64.6x the FP16 throughput and 7.3x the memory bandwidth of the RTX 2060.